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Clement Gehring
Clement Gehring
Mila
Preverjeni e-poštni naslov na csail.mit.edu - Domača stran
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Leto
Batched large-scale bayesian optimization in high-dimensional spaces
Z Wang, C Gehring, P Kohli, S Jegelka
International Conference on Artificial Intelligence and Statistics, 745-754, 2018
2092018
Smart exploration in reinforcement learning using absolute temporal difference errors
C Gehring, D Precup
Proceedings of the 2013 international conference on Autonomous agents and …, 2013
1112013
Reinforcement Learning for Classical Planning: Viewing Heuristics as Dense Reward Generators
C Gehring, M Asai, R Chitnis, T Silver, LP Kaelbling, S Sohrabi, M Katz
arXiv, 2021
362021
Robust Reinforcement Learning: A Constrained Game-theoretic Approach
J Yu, C Gehring, F Schäfer, A Anandkumar
Learning for Dynamics and Control, 1242-1254, 2021
162021
Incremental truncated LSTD
C Gehring, Y Pan, M White
International Joint Conference on Artificial Intelligence, 2016
152016
Approximate Linear Successor Representation
CA Gehring
Multidisciplinary Conference on Reinforcement Learning and Decision Making …, 2015
122015
Bridging State and History Representations: Understanding Self-Predictive RL
T Ni, B Eysenbach, E Seyedsalehi, M Ma, C Gehring, A Mahajan, ...
arXiv preprint arXiv:2401.08898, 2024
52024
Understanding End-to-End Model-Based Reinforcement Learning Methods as Implicit Parameterization
C Gehring, K Kawaguchi, J Huang, L Kaelbling
Advances in Neural Information Processing Systems 34, 703-714, 2021
52021
A Lagrangian Method for Inverse Problems in Reinforcement Learning
PL Bacon, F Schäfer, C Gehring, A Anandkumar, E Brunskill
NeurIPS Optimization Foundations for Reinforcement Learning Workshop, 2019
52019
Comment on “Giant electromechanical coupling of relaxor ferroelectrics controlled by polar nanoregion vibrations”
PM Gehring, Z Xu, C Stock, G Xu, D Parshall, L Harriger, CA Gehring, X Li, ...
Science advances 5 (3), eaar5066, 2019
42019
Reinforcement Learning Competition: Helicopter Hovering with Controllability and Kernel-Based Stochastic Factorization
A Asbah, AMS Barreto, C Gehring, J Pineau, D Precup
Proceedings of International Conference on Machine Learning (ICML …, 2013
42013
Adaptable replanning with compressed linear action models for learning from demonstrations
C Gehring, LP Kaelbling, T Lozano-Perez
Conference on Robot Learning (CoRL), 2018
32018
Sparse Coding Applied to Digit Recognition
C Gehring, S Lemay
sibi 1, 1, 2012
32012
Course Correcting Koopman Representations
M Fathi, C Gehring, J Pilault, D Kanaa, PL Bacon, R Goroshin
arXiv preprint arXiv:2310.15386, 2023
12023
Neural differential equations for temperature control in buildings under demand response programs
V Taboga, C Gehring, M Le Cam, H Dagdougui, PL Bacon
Applied Energy 368, 123433, 2024
2024
Do Transformer World Models Give Better Policy Gradients?
M Ma, T Ni, C Gehring, P D'Oro, PL Bacon
arXiv preprint arXiv:2402.05290, 2024
2024
A Differentiable Sequence Model Perspective on Policy Gradients
M Ma, P D'Oro, T Ni, C Gehring, PL Bacon
2023
Functional Risk Minimization
F Alet, C Gehring, T Lozano-Pérez, JB Tenenbaum, LP Kaelbling
2022
Efficient reinforcement learning via singular value decomposition, end-to-end model-based methods and reward shaping
C Gehring
Massachusetts Institute of Technology, 2022
2022
Shape Fitting Temporal Difference Learning
C Gehring
McGill University (Canada), 2015
2015
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